Evidence map›Paper›PMID 28553343›Full record

ArticleNeural regeneration research2017

Magnetic resonance imaging-three-dimensional printing technology fabricates customized scaffolds for brain tissue engineering.

Feng Fu, Zhe Qin, Chao Xu, Xu-Yi Chen, Rui-Xin Li, Li-Na Wang, Ding-Wei Peng, Hong-Tao Sun, Yue Tu, Chong Chen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Advances in 3D Printing for Tissue Engineering.Materials (Basel, Switzerland) · 2021
    Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. EnhancedRoyal Society open science · 2018
    Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Feng FuInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Zhe QinPingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Chao XuInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Xu-Yi ChenInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Rui-Xin LiInstitute of Medical Equipment, The Academy of Military Medical Sciences, Tianjin, China.
Li-Na WangInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Ding-Wei PengInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Hong-Tao SunInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Yue TuInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Chong ChenInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Sai ZhangInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Ming-Liang ZhaoInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.
Xiao-Hong LiInstitute of Traumatic Brain Injury and Neurology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China.ORCID 0000-0001-8745-140X
Chinese People's Armed Police ForcePingjin Hospital · CNAcademy of Military Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional fabrication methods lack the ability to control both macro- and micro-structures of generated scaffolds. Three-dimensional printing is a solid free-form fabrication method that provides novel ways to create customized scaffolds with high precision and accuracy. In this study, an electrically controlled cortical impactor was used to induce randomized brain tissue defects. The overall shape of scaffolds was designed using rat-specific anatomical data obtained from magnetic resonance imaging, and the internal structure was created by computer-aided design. As the result of limitations arising from insufficient resolution of the manufacturing process, we magnified the size of the cavity model prototype five-fold to successfully fabricate customized collagen-chitosan scaffolds using three-dimensional printing. Results demonstrated that scaffolds have three-dimensional porous structures, high porosity, highly specific surface areas, pore connectivity and good internal characteristics. Neural stem cells co-cultured with scaffolds showed good viability, indicating good biocompatibility and biodegradability. This technique may be a promising new strategy for regenerating complex damaged brain tissues, and helps pave the way toward personalized medicine.

Indexed as

chitosancollagenmagnetic resonance imagingmimicsnerve regenerationneural regenerationscaffoldsthree-dimensional printingtissue engineeringtraumatic brain injury

Identifiers

PMID28553343
PMCPMC5436361
OpenAlexW2610087993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.